Senior Director, Analytics Engineering, Data Analytics & AI

Job summary

Responsibilities

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties.

• Lead and grow the Analytics Engineering organization: Manage through your direct reports (team leads/managers), setting priorities and technical strategy across the team.
• Drive Snowflake’s internal data transformation: Lead your teams' ongoing work to create an AI ready data foundation, with an emphasis on documentation, contracts, context, and…
• Own Snowflake’s internal analytics agents: Build, improve, and maintain general purpose analytics agents - and underlying context and semantic layers - that can be used across…
• Champion AI-assisted engineering: Drive adoption of Cortex Code-based agentic workflows and reusable skills across your teams to speed up typical Analytics Engineering…
• Act as Snowflake’s customer zero: Be the first trusted tester of Snowflake’s own features across the data engineering and transformation stack, deeply engaging with Product and…

Tech stack

• dbt
• Airflow
• Tableau
• Snowflake